Build deeper research understanding by connecting sources into one narrative. A second brain for precedent recall, doctrine mapping, and argument construction so case law memory can develop stronger synthesis from research material without losing source context.




The Problem
Neuron pages for case law memory are written around real memory pressure, not generic productivity advice.
Precedent networks are complex, but most note systems do not preserve relationships clearly.
Argument strategies repeat weakly because prior case context is difficult to retrieve.
You need reliable recall of doctrinal links when preparing legal analysis and memos. Research quality stalls when source context is captured but never meaningfully connected.
The Solution
Capture Connect Recall Retrieve
Capture case notes, statutory links, and argument templates in seconds so citations and insights remain tightly linked from the start.
Map relationships across precedent recall, doctrine mapping, and argument construction so themes and contradictions are visible as your research corpus grows.
Generate active recall prompts like "Which precedent controls this issue and where are the factual distinctions?" to reinforce key insights before they disappear into reading backlog.
Retrieve the right context before brief writing and oral argument preparation when drafting or presenting requires immediate source-backed clarity.
Pricing
We like keeping things simple. One plan one price.
For power users.
Buy once. Use forever.
FAQ
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Insights, updates and stories from our team.
Why It Converts
It keeps case notes, statutory links, and argument templates in one place so retrieval is dependable instead of scattered.
It reframes precedent recall, doctrine mapping, and argument construction into prompts that match the way case law memory actually think and execute.
It strengthens recall before brief writing and oral argument preparation, where context quality directly affects outcomes.
It compounds source-level memory into higher-order synthesis that improves every iteration.
Stop losing hard-earned context. Capture it once, retrieve it on demand, and improve recall every week.